MedEV Dataset

Introduction

The MedEV dataset marks a notable advancement in machine translation, focusing on the Vietnamese-English pair in the medical field. Its purpose is to address the lack of high-quality Vietnamese-English parallel data by offering around 360K sentence pairs. This dataset is designed to support the advancement of machine translation in medical domain, serving as a valuable tool to improve the precision and trustworthiness of medical translations between Vietnamese and English.

Dataset Overview

Domain: Medical
Language Pair: Vietnamese-English
Size: ~360,000 sentence pairs
Objective: To support the development of machine translation models specifically tuned for the medical domain.
Traning set: 340,897 sentence pairs
Valiation set: 8,982 sentence pairs
Test set: 9,006 sentence pairs

Accessing the Dataset

The MedEV dataset is available for research purposes. Please refer to our paper for detailed information on the dataset construction, experimental setup, and analysis of results.

Ethical Statement

Data are collected from publicly available websites, such as journals and universities, but also from www.msd.com. The content extracted from these sources cannot be used for public or commercial purposes. Therefore, the content also contains no private data about the patients.

Citing MedEV

If you find the MedEV dataset useful in your research, please consider citing our paper:

@inproceedings{medev,
    title     = {{Improving Vietnamese-English Medical Machine Translation}},
    author    = {Nhu Vo and Dat Quoc Nguyen and Dung D. Le and Massimo Piccardi and Wray Buntine},
    booktitle = {Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING)},
    year      = {2024}
}